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Adrien Bidaud

Researcher at University of Grenoble

Publications -  38
Citations -  459

Adrien Bidaud is an academic researcher from University of Grenoble. The author has contributed to research in topics: Fission & MOX fuel. The author has an hindex of 10, co-authored 37 publications receiving 397 citations. Previous affiliations of Adrien Bidaud include Louisiana Public Service Commission & Centre national de la recherche scientifique.

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A collision history-based approach to Sensitivity/Perturbation calculations in the continuous energy Monte Carlo code SERPENT

TL;DR: In this article, a collision history-based approach to sensitivity/perturbation calculations in the Monte Carlo code SERPENT is discussed, allowing the calculation of the effects of nuclear data perturbation on several response functions: the effective multiplication factor, reaction rate ratios and bilinear ratios (e.g., effective kinetics parameters).
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Comparative analysis of high conversion achievable in thorium-fueled slightly modified CANDU and PWR reactors

TL;DR: In this paper, the conversion performance of thorium-fueled standard or only slightly modified CANDU and PWR reactors with unchanged core envelope and equipments, to be eventually used as the third and last tier of symbiotic scenarios, is investigated.
Proceedings ArticleDOI

The JEFF evaluated nuclear data project

TL;DR: The status of the Joint Evaluated Fission and Fusion file (JEFF) is described in this paper, which comprises a significant update of actinide evaluations, materials evaluations that have emerged from various European nuclear data projects, the activation library JEFF-3.1/A, decay data and fission yield sub-libraries, and fusion-related data files from the EFF project.
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A neural network approach for burn-up calculation and its application to the dynamic fuel cycle code CLASS

TL;DR: In this article, the authors presented a methodology based on neural networks for building a fuel loading model and a cross section predictor for a PWR reactor loaded with MOX fuel, which allows completion of the fuel depletion calculation in less than one minute with excellent accuracy.